miRNA normalization enables joint analysis of several datasets to increase sensitivity and to reveal novel miRNAs differentially expressed in breast cancer
Fig 13
Scatterplot matrix of quantile normalized data showing miRNA expression reproducibility across dataset pairs.
Each subplot depicts a pair of datasets. In the upper-diagonal-subplots, each point corresponds to a single miRNA’s median (across samples) rank (intra-sample) in each dataset. Similarly, the bottom-diagonal shows median log2 expressions in place of ranks. A second degree polynomial curve is fitted and prediction intervals at confidence level 0.8 are plotted as dashed lines. Spearman correlation is given for each subplot. Figures at the diagonal show percentile plotted against expression and a circle represents the dataset colorcode as related to other figures in the paper.